Arild Michel Bakken is an Associate Professor at the National Centre for Reading Education and Research, Faculty of Arts and Education, University of Stavanger, Norway, a position he has held since 2018. Previously, he taught French and Norwegian in Belgium (2016–2018) and was a Research Fellow in French Literature at the University of Oslo (2015–2016). Education: PhD in French Literature (co-tutelle), University of Paris-Sorbonne and University of Oslo (2015) MA in French Literature, University of Paris-Sorbonne (2010) BA in Modern Literature, Paul Valéry University (2006) His research spans literacy education, AI applications in learning, and reading assessment technologies. He leads major projects including the Erasmus+-funded AILIT (developing AI platforms for literacy) and the NRC-supported Adaptvurder (adaptive reading tests). His work integrates recommender systems, machine translation, and psychometric modeling to enhance educational outcomes. Bakken’s publications transition from early expertise in Mallarmé’s poetry (using hermeneutic/rhetorical frameworks) to contemporary focus on literacy technology. Recent articles emphasize adaptive assessments, AI-driven pedagogy, and equitable educational tools. He contributes to national education initiatives as a developer of reading screening tests for Norway’s Directorate of Education and is active in Stavanger AI Lab . He also edits the Nordic Journal of Literacy Research and conducts professional workshops for teachers.
Per-Arne Andersen is an Associate Professor at the Department of Information and Communication Technology within the University of Agder . His research focuses on artificial intelligence , reinforcement learning , Tsetlin machines , and deep learning , with applications in real-time strategy games , industrial environments , and IoT systems . Projects: RESTORE Research Groups: CAIR - Center for Artificial Intelligence Research, CIEM - Center for Integrated Crisis Management, Intelligent Mechatronics (iTron) His work explores safe and sustainable reinforcement learning , interpretable AI , and generative environment modeling . He has developed frameworks like CaiRL and CostNet for high-performance RL environments and goal-directed learning. Recent publications include advancements in Tsetlin automaton analysis , GNSS jamming classification , and road quality detection . Articles from 2025-2016 span machine learning , computer vision , and environmental modeling . He contributes to IEEE , Springer , and LNCS publications, with a focus on interdisciplinary AI applications in crisis management , cybersecurity , and industrial optimization .
Marco Seeber is a Professor at the University of Agder's Department of Political Science and Management. He holds a PhD from the University of Chieti Pescara (Italy) and has previously worked at the University of Lugano (Switzerland) and Ghent University (Belgium). His research focuses on public policy, governance, and management with specialization in higher education systems, research evaluation, and science policy. Professor Seeber's research examines policy implementation, research metrics, peer review systems, academic careers, internationalization, and interdisciplinarity in higher education. He employs comparative and quantitative methodologies to analyze governance structures and policy impacts across different educational systems. He has received significant recognition including the Swiss Prize for Research in Education (2019) and fellowships from IEEE, AIUM, and AIMBE. As Co-Editor-in-Chief of the European Journal of Higher Education, he shapes scholarly discourse in his field. He currently coordinates the Horizon CSA project IANUS (2025-) and leads courses in organizational theory, research methodology, and leadership.
Hakan Basarir is a Professor in the Department of Mining Engineering at the Norwegian University of Science and Technology (NTNU), Trondheim, Norway. His research and teaching focus on mining rock mechanics, rock mass characterization, underground support systems, and the application of soft computing methods in mining engineering. PhD in Mining Engineering (2002) 20+ years of research and teaching experience 60+ publications in journals and conferences Research Interests include rock mass property prediction using measurement while drilling (MWD) techniques, numerical modeling of mining structures, optimization of mine support systems, and sustainable material development. His work integrates machine learning and computational methods to address challenges in mining geomechanics and backfill design. Recent Publications highlight advancements in AI-driven lithology prediction, eco-concrete formulation, and backfill mixture optimization. He has also contributed to tunnel stability analysis and seismic rock slope modeling. Teaching includes advanced courses in mining engineering, mineral production modeling, and specialization projects in geotechnology.
Børge Rokseth is an Associate Professor at the Department of Engineering Cybernetics , Norwegian University of Science and Technology (NTNU). His work focuses on integrating advanced methodologies for safety and risk control in autonomous maritime systems. He has held academic positions since at least 2014, with a consistent record of research collaboration and publication. Research Areas: Maritime risk analysis, autonomous ship systems, safety engineering, dynamic positioning systems, systems-theoretic process analysis (STPA) Key Publications: 15 most recent articles cover topics like trajectory prediction for autonomous vessels, hybrid power systems safety, machine learning in risk assessment, and dynamic positioning system reliability His publications (2014-2025) emphasize safety-critical systems in marine environments. Common themes include: Application of STPA for hazard analysis in autonomous shipping Development of risk-informed control systems Integration of machine learning with engineering risk assessment Comparative studies of different ship autonomy levels As a supervisor, Rokseth has guided master's students including Ane Joramo Stokke and Ludvig Vik Løite. His work has been presented at international conferences such as the European STAMP Workshop, International Conference on Conceptual Modeling, and the International Seminar on Safety and Security of Autonomous Vessels.
Ole Morten Aamo is a Professor at the Department of Engineering Cybernetics within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway. His office is located at Elektro D/B2, D344, Gløshaugen, O. S. Bragstads plass 2, and he can be reached at aamo@ntnu.no or by phone at 73594386. Professor Aamo's research focuses on control theory with particular emphasis on partial differential equations (PDEs) and their applications in drilling engineering and the petroleum industry. His work spans multiple areas including boundary control of hyperbolic systems, adaptive control methodologies, vibration control in drilling operations, and leak detection systems for pipe networks. His research combines theoretical control developments with practical applications in the oil and gas sector, particularly addressing challenges related to stick-slip phenomena, torsional vibrations, and pressure oscillations in drilling operations. His publication record reveals a consistent trajectory of high-impact research in control systems, with a notable shift toward integrating machine learning approaches with traditional control theory in recent years. The majority of his work centers around hyperbolic PDE systems, with applications primarily in drilling engineering and fluid dynamics. His research demonstrates a strong connection between theoretical control developments and practical implementations in the petroleum industry. Professor Aamo has actively supervised multiple graduate students, as evidenced by the master's theses listed in his publication record. His work often appears in top-tier control journals including IEEE Transactions on Automatic Control, Automatica, and IEEE Control Systems Letters, as well as petroleum engineering venues like SPE Journal and ASME publications.
Petter Gullmark is an Associate Professor at the School of Business and Economics , UiT The Arctic University of Norway. He serves as Vice-Dean for Innovation, Industry Collaboration, and Ph.D. education, focusing on public sector innovation and entrepreneurship. Research Areas: Public Sector Innovation, Entrepreneurship, Dynamic Capabilities, Institutional Logics, Leadership Contact: petter.gullmark@uit.no | +47 77 66 05 20 His recent work examines how institutional logics shape public servants' opportunity evaluation, the role of middle managers in deploying dynamic capabilities, and cross-sector collaboration challenges. Publications appear in journals like Public Management Review , Small Business Economics , and Public Administration Review . Current teaching includes BED-3111 Sustainable Innovation . Research trends emphasize organizational entrepreneurship, institutional change, and leadership dynamics in public sector contexts.
Jason Nelson is a Professor of Digital Culture in the Department of Linguistic, Literary and Aesthetic Studies at the University of Bergen, Norway. He is a creator of digital poems and fictions, builder of surrealist and politically focused art games and digital creatures. His work is exhibited widely in galleries and journals around the globe at FILE, ACM, LEA, ISEA, SIGGRAPH, ELO and numerous other venues. Nelson serves on organizational boards including the Australia Council Literature Board and the Electronic Literature Organization. Nelson's research focuses on the intersection of digital technology, creative writing, and artistic expression. He explores how AI and machine learning can be harnessed for creative purposes, developing new forms of digital literature and interactive art. His work often involves building expansive visual worlds through collaborative AI processes, creating interactive digital poetry, and developing novel approaches to digital narrative. Nelson's research spans digital humanities, electronic literature, AI-generated art, and interactive media, with particular emphasis on how these technologies transform creative processes and experiences. Over the past decade, Nelson's work has increasingly focused on the creative potential of AI technologies, especially in the areas of text-to-image generation and multimodal authorship. His projects often blend game engines with poetic expression, creating immersive experiences that challenge traditional boundaries between human and machine creativity. Recent works explore themes of multispecies futures, time perception, and the transformation of physical spaces through augmented reality. Nelson has received numerous scientific awards and fellowships including: Fulbright Fellowship at the University of Bergen Moore Fellowship at the National University of Ireland Winner of the Digital Writing Prize, Queensland Literary Awards (15,000 AUD) Winner of the Woollahra Library Digital Poetry Prize (5,000 AUD) Runner-Up Prize at the Videomedeja digital art exhibition Finalist for the Turn-on Literature Prize Finalist for the Queensland Literary Awards, Digital Writing Category Multiple finalist nominations for the New Media Writing Prize Nelson actively participates in academic advising and has secured significant research funding, including a 125,000 AUD grant from the Australia Council of the Arts, Literature Board for his project "Cube Cryptext and Nomencluster," which was recognized as the world's largest interactive art-game. His work "Nine Billion Branches" received multiple awards including the Digital Writing Prize from the Queensland Literary Awards. He has also received a 75,000 NOK grant for the "Flood Mosaic Artwork" project featured in the Floodlines Exhibition at the State Library of Queensland. Nelson is affiliated with the Center for Digital Narrative at the University of Bergen, where he collaborates with researchers like Scott Robert Rettberg and Alinta Krauth. Together they form EphemerLab, exploring new creative processes that move beyond simple "ask and generate" AI methods. Their work involves stitching together hundreds of individual image fragments and components into cohesive visual and narrative concepts, pushing the boundaries of what's possible with current AI technologies.
Daniel Groos is a Researcher at the Department of Computer Science, NTNU, specializing in the development of machine learning models for medical and sports-related motion analysis. His work focuses on applying deep learning techniques to video-based movement analysis for early detection of cerebral palsy in infants and performance analysis in elite sports. Education: PhD in Medical Technology (NTNU, 2018-2022), MSc in Computer Science with specialization in AI (NTNU, 2013-2018). Research interests include interdisciplinary collaborations with St. Olavs Hospital and Norwegian Open AI Lab. Key topics are deep learning applications in healthcare, computer vision for movement analysis, and sports biomechanics. Publications emphasize automated clinical analysis, video-based diagnostics, and human pose estimation. Notable projects include a deep learning method for cerebral palsy prediction and motion tracking systems for elite ski jumpers. Collaborations with institutions like the Centre for Elite Sports Research and Olympiatoppen highlight his work in sports performance analysis. No formal scientific awards listed but active in academic outreach with lectures at European conferences on childhood disability and movement analysis.
Rune Andersen is a Senior Lecturer at the University of Agder , affiliated with the Department of Information and Communication Technology . He has pioneered Europe's first holistic Bachelor's program in Academic Esports and serves as its Program Head, while also leading external communication and innovation initiatives within the department. Education: General Teacher (1999) Master's in Educational Use of ICT (2008) Guidance Pedagogy (2012) Welfare Technology (2018) His research interests focus on ICT integration in education , gamification , and leveraging transferable skills from esports for workforce development. He emphasizes interdisciplinary collaboration and industry partnerships to bridge academic and professional transitions. Recent publications highlight esports as a pedagogical tool, gamification in higher education, and skill transfer from digital environments to real-world applications. His work spans game-based learning, universal design, and curriculum innovation.
Elisabet Apelmo serves as Senior Lecturer in the Department of Social Work at Malmö University, Sweden. A visual artist with a PhD in Sociology, she bridges creative practice and academic inquiry to explore the complex intersections of bodily experience, sport, disability, and gender within contemporary society. Her research program centers on sociological analyses of bodily difference, particularly examining how physical education environments construct inclusion and exclusion through gendered and ableist frameworks. Apelmo employs phenomenological approaches and visual methodology to investigate how disabled bodies navigate sporting spaces, challenging normative assumptions about athletic participation and bodily capability. Her work consistently reveals how sporting cultures simultaneously enable and constrain identities, particularly for women and people with disabilities. Analysis of Apelmo's publication history shows sustained engagement with critical disability theory, gender studies, and sport sociology spanning nearly two decades. Her scholarship demonstrates methodological innovation through visual approaches and phenomenological frameworks, with recurring themes including the social construction of disability in sport contexts, gendered bodily experiences in physical education, and the material-semiotic relationships between bodies and technologies like wheelchairs. Among her current research initiatives are investigations into participation and exclusion dynamics in mainstream physical education from disability and gender perspectives, and ethnographic studies examining how dancers strategically use their bodies and gazes to disrupt stereotypical perceptions of physical impairment. These projects reflect her commitment to generating knowledge that directly challenges ableist assumptions within sporting cultures and educational settings.
Martin Kjeøen Erikstad is an Associate Professor at the Department of Sports Science and Physical Education at the University of Agder. His work primarily focuses on sports psychology, coaching development, and talent development in football. University of Agder Department of Sports Science and Physical Education Research group: SPADE (Training processes and performance development in sports) Dr. Erikstad's research explores psychosocial factors affecting performance and participation in sport, particularly in youth football systems. He has conducted extensive studies on Bryne FK's youth development, including the 1999 intake that produced Erling Haaland and other professional players. His work emphasizes: Transformational leadership in sports Positive coach-athlete relationships Environment factors that promote both participation and elite talent development Psychological aspects of refereeing decisions Self-regulation in youth football
Helen Berg is an Associate Professor in the Department of Health Sciences at NTNU Ålesund. Her research focuses on integrating Virtual Reality (VR) and simulation-based training into healthcare education, particularly in clinical observation, preoperative handovers, and healthcare communication. She has led projects developing VR tools for systematic clinical approaches like ABCDE and ISBAR, emphasizing their efficacy for nursing and medical students. Her work bridges technology and education, aiming to enhance clinical skills through innovative methods. Research Interests: Simulation-based training methodologies VR applications in medical education Clinical communication protocols (ISBAR/ABCDE) Healthcare technology adoption Telehealth and rehabilitation technology Key Projects: VRINK: VR for youth inclusion in outdoor activities Development of ISBAR and ABCDE VR training modules Evaluation of video communication in elderly care Teaching: Courses include SYA1000 - Basic Nursing, focusing on practical healthcare skills. Labs/Teams: Collaborates with institutions like VID Stavanger and NTNU’s simulation centers on VR and healthcare innovation.
Thomas Laudal is an Associate Professor at the University of Stavanger, affiliated with the UiS School of Business and Law, Department of Innovation, Management and Marketing. His academic work bridges business strategy, sustainability, and innovation, with a strong focus on institutional and societal implications of emerging technologies and business models. His research interests center on sustainable business strategies, corporate social responsibility (CSR), institutional perspectives on innovation, public goods economics, circular economy, and digital transformation in healthcare. He explores how organizations can align profitability with social and environmental responsibility, particularly in regulated sectors such as healthcare and public procurement. Laudal's recent publications reflect a consistent interdisciplinary focus on sustainability, innovation, and responsible business practices. His work spans circular value chains, responsible innovation in healthcare, economies of scale in digital service models (XaaS), and stakeholder dynamics in sustainable construction. These contributions highlight a trajectory toward integrating technological change with ethical and systemic considerations. No scientific awards are listed in the provided text. Laudal has supervised or collaborated with numerous researchers and has contributed to major research projects on digital health, circular economy, and CSR. He teaches courses in organizational theory and sustainable business practices at both undergraduate and graduate levels. His work includes formative contributions to understanding patient-initiated innovation, hairy goals in change management, and the role of public goods in economic systems. He has also been active in public engagement, presenting on AI in healthcare and future care models such as 'Carebnb' platforms. He is associated with research initiatives including the 'Releasing the power of the user' project and has contributed to workshops and seminars on digital health, circular economy, and responsible innovation. His collaborations span multiple institutions and disciplines, particularly in sustainability and healthcare innovation.
Are Oust is a Professor of Financial Economics at the Norwegian University of Science and Technology (NTNU School of Economics) and a Professor II at the Norwegian School of Economics. He specializes in housing market dynamics, real estate economics, and tax policy. His research focuses on housing bubbles, property valuation, and the impact of regulation on real estate markets. Affiliations: NTNU School of Economics (Professor) Norwegian School of Economics (Professor II) Deputy Head of Research at NTNU School of Economics (2021–present) Deputy Director of NTNU Center for Housing and Environmental Economics (2016–present) Education: PhD in Economics, NTNU (2013) Master’s in Accounting and Auditing, Economics, and Business Administration from NHH (Norwegian School of Economics) Bachelor of Science in Economics, NTNU Research Interests: Dr. Oust’s work emphasizes automated valuation models, housing market regulation, energy labeling in real estate, and the interplay between taxation and home ownership. His research has been published in journals such as Quantitative Finance , Journal of Real Estate Research , and Energy Policy . Key Contributions: His studies on housing bubbles, rental market dynamics, and the application of AI in real estate valuation have shaped policy debates. Recent work explores the role of adverse selection in iBuyer models and the predictive power of dwelling conditions in automated valuations. Grants & Leadership: He advises on real estate policy and serves on multiple boards, including the NTNU Center for Housing and Environmental Economics, and private real estate firms like Strinda Eiendom AS. His teaching focuses on personal finance, investment strategies, and tax planning.
